The watershed concept and its use in segmentation : a brief history

نویسنده

  • Fernand Meyer
چکیده

The history of the watershed for segmentation is linked with the technological development of the image processing devices. In the mid seventies, computer memory was expensive, and computers slow. At the CMM we developed the first image analyzers, subsequently commercialized by Leitz under the name TAS holding binary image memories [20]. The result of an image transform may be stored in a memory and become the source of a second transform. Chaining

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Watersheds, waterfalls, on edge or node weighted graphs

Fernand MeyerCentre de Morphologie MathématiqueMines-ParisTech () Watersheds, waterfalls, on edge or node weighted graphs 2012 February 29 1 / 201 arXi Introduction The watershed transform is one of the major image segmentation tools [4], used in the community of mathematical morphology and beyond. If the watershed is a successful concept, there is another side of the coin: a number of definiti...

متن کامل

A Study of the Essence of the Cinematic Frame According to the Metaphors of the Window and Framework

The cinematic frame is the boundary between the cinematic image and the outside world. In the history of theoretical studies of cinema, the essence of the cinematic frame is analyzed in many ways. Here we focus on two significant viewpoints among them. One of these significant viewpoints considered cinematic frame as a window, and another one considered it as a framework. Both of them had (and ...

متن کامل

A Novel Spot-Enhancement Anisotropic Diffusion Method for the Improvement of Segmentation in Two-dimensional Gel Electrophoresis Images, Based on the Watershed Transform Algorithm

Introduction Two-dimensional gel electrophoresis (2DGE) is a powerful technique in proteomics for protein separation. In this technique, spot segmentation is an essential stage, which can be challenging due to problems such as overlapping spots, streaks, artifacts and noise. Watershed transform is one of the common methods for image segmentation. Nevertheless, in 2DGE image segmentation, the no...

متن کامل

High Performance Implementation of Fuzzy C-Means and Watershed Algorithms for MRI Segmentation

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

متن کامل

High Performance Implementation of Fuzzy C-Means and Watershed Algorithms for MRI Segmentation

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • CoRR

دوره abs/1202.0216  شماره 

صفحات  -

تاریخ انتشار 2012